Model-based adaptive segmentation

Image analysis – Image segmentation

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382171, 382172, 382271, G06K 934

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active

059499052

ABSTRACT:
A machine vision method is provided for segmenting an image based on an adaptive thresholding approach that exploits prior knowledge of the characteristics, such as area, of the object to be segmented. Adaptation to varying gray-values of the candidate object/background from scene-to-scene is obtained by using a sampling window which provides gray-value statistics of the candidate object to be segmented. Next, using these statistics, a characteristic of the image of the object to be segmented, such as its area or its gray-value standard deviation, and the histogram of the image, the segmentation is performed. The invention is especially useful for detecting the presence/absence of adhesive on printed circuit boards, where both the appearance of the printed circuit board and the solder paste commonly found thereon make segmentation difficult. In case of presence/absence determination, an additional step of shape matching is employed.

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